Asset Management- Quantitative Equities Research Analyst - Vice President

JPMorgan Chase & Co.•New York, NY

10h•Onsite

About The Position

We are a dynamic and innovative Quantitative Equity Research Team seeking a highly motivated Quantitative Equity Researcher to join us in our New York office. As a key player in the financial industry, we leverage data-driven insights to make informed investment decisions and drive our research strategies. As a Vice President within the quant research team, you will play a pivotal role in shaping and executing the research agenda. You will independently initiate, scope, and deliver research that enhances the investment process, with a clear focus on empirical rigor and reproducibility. The ideal candidate combines deep expertise in quantitative modeling and portfolio construction with modern AI/ML capabilities – including large language models (LLMs) – to develop scalable research tooling and differentiated systematic insights.

Requirements

5+ years of experience in quantitative equity research or a related field, with demonstrated independent research delivery and project leadership.
Advanced degree (Masters or PhD) in financial engineering, data science, computer science, mathematics, statistics, or related quantitative discipline.
Proficiency in AI/ML fundamentals for financial applications, with practical experience across classical and modern modeling approaches.
Strong knowledge of large language model technologies and their practical application to research and financial analysis workflows.
Experience with NLP and working with alternative and unstructured data in a manner suitable for repeatable research and production deployment.
Deep expertise in quantitative modeling, portfolio construction, and equity markets.
Strong programming skills in Python, including the ability to build robust research infrastructure and reusable analytics; SQL proficiency for data extraction and manipulation is required.
Excellent verbal and written communication skills, with the ability to convey complex technical ideas to both technical and non-technical audiences, including senior stakeholders.
Proven ability to manage multiple research workstreams and deliver results in a fast-paced environment, with strong prioritization and disciplined documentation.
Demonstrated ability to collaborate effectively across investment, research, and technology teams.

Responsibilities

Develop novel alpha signals from traditional and alternative datasets and enhance return-forecasting models for equity markets.
Apply advanced statistical, econometric, and machine learning techniques to large and complex datasets.
Leverage large language models and generative AI to develop quantitative signals and generate investment insights.
Design and implement robust research pipelines with proper validation methodology, disciplined feature selection, and rigorous model evaluation.
Build and maintain research frameworks for factor analysis, signal diagnostics, and regression-based studies.
Drive research and innovation in portfolio construction and risk management, including optimization.
Build and evaluate backtesting frameworks and performance attribution to ensure strategies meet investment objectives.
Collaborate closely with portfolio managers and stakeholders to translate research outcomes into actionable investment decisions, with clear communication of assumptions, limitations, and expected behavior across regimes.
Oversee the integration of research outputs into production systems in partnership with technology teams, emphasizing reliability, monitoring, and controlled change management.
Stay abreast of academic and industry developments in quantitative finance, AI/ML, and alternative data, and translate relevant advances into practical research priorities.